Paper Info
Title
Heart of the Matter: Discovering the Consensus of Multiple Clustering Results
Abstract
We define and study a novel text mining problem for biomedical literature digital library, referred to as the class-attribute mining. Given a collection of biomedical literature from a digital library addressing a set of objects (e.g., proteins) and ...
Year
DOI
Venue
2008
10.1109/BIBM.2008.28
BIBM
Keywords
DocType
ISSN
digital library,biomedical literature,class-attribute mining,multiple clustering results,novel text mining problem,automatic summarization,genomics,synthetic data,np hard problems,greedy heuristic,computational complexity
Conference
2156-1125
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Alex Kosorukoff1373.56
Saurabh Sinha252948.96